neqsim-model-calibration-and-data-reconciliation SKILL.md skillA
neqsim-model-calibration-and-data-reconciliation from equinor/neqsim is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add equinor/neqsim/neqsim-model-calibration-and-data-reconciliation@git:20261103.75a0473Pins git:20261103.75a0473 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- equinor/neqsim
- Path
.github/skills/neqsim-model-calibration-and-data-reconciliation/SKILL.md- Versions recorded
- 6
- Latest version
- git:20261103.75a0473, committed Nov 3, 2026
- First version recorded
- Apr 19, 2026
- Size
- 10,384 bytes
- Repository stars
- 167
- License
- Apache-2.0
Model calibration and data reconciliation workflow for NeqSim digital twins. USE WHEN: reducing model-vs-plant mismatch, tuning process model parameters from historian data, reconciling noisy measurements, or building validation reports for calibrated simulations. Covers tag mapping, data quality gates, steady-state window selection, bounded optimization, residual diagnostics, and results.json reporting.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Model Calibration and Data Reconciliation A practical workflow for calibrating NeqSim models against plant historian data and producing auditable validation output. ## When to Use This Skill - When simulated values do not match measured plant data. - When building digital twin loops for separators, compressors, or heat exchangers. - When you need reproducible parameter tuning with physical bounds. - When a study requires train/validation split and objective fit metrics. ## Scope and Non-Goals This skill focuses on steady-state calibration and data reconciliation. This skill does not replace dynamic controller tuning. For transient tuning, load `neqsim-dynamic-simulation` in addition. ## Required Companion Skills - `neqsim-plant-data`: historian read patterns (PI/IP.21), tag maps, quality flags. - `neqsim-input-validation`: parameter bounds and physically realistic inputs. - `neqsim-troubleshooting`: convergence recovery when each case is re-simulated. ## Calibration Workflow 1. Define objective and acceptance criteria. 2. Build a trusted tag map from plant tags to model variables. 3. Read, clean, and quality-filter plant data. …
Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/neqsim-model-calibration-and-data-reconciliation@sha256:38da7ba99f123600The line at the top of this page pins the label git:20261103.75a0473, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_btgwsvgm7ptf7kpl)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Apr 19, 2026 and Nov 3, 2026, about one every 40 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261103.75a0473 latest | 2026-11-03 | 75a0473 | 10,384 B | A | view · diff |
| git:20261024.b191209 | 2026-10-24 | b191209 | 9,962 B | A | view · diff |
| git:20261019.895ff35 | 2026-10-19 | 895ff35 | 9,753 B | A | view · diff |
| git:20261005.fcf12a1 | 2026-10-05 | fcf12a1 | 8,940 B | A | view · diff |
| git:20261005.e5bb9ff | 2026-10-05 | e5bb9ff | 8,801 B | A | view · diff |
| git:20260419.5d61820 | 2026-04-19 | 5d61820 | 8,010 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10384 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
equinor/neqsim · 167 stars · license Apache-2.0 · pushed 2026-11-08 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_btgwsvgm7ptf7kpl GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/neqsim-model-calibration-and-data-reconciliation GET https://markdownregistry.com/api/v1/blob/38da7ba99f1236000afd162bc4ffff12473bce3166d8470d52bc0ca687e7ad5c
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.